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Showing papers by "University at Buffalo published in 2022"


Journal ArticleDOI
TL;DR: A novel convolution autoencoder architecture that can dissociate the spatio-temporal representation to separately capture the spatial and the temporal information is explored, since abnormal events are usually different from the normality in appearance and/or motion behavior.

61 citations


Journal ArticleDOI
TL;DR: A review of machine learning approaches to superconductivity discovery can be found in this paper , where the authors present several machine learning algorithms that can enable the rapid prediction of structures and properties of novel materials in an automated, high-throughput fashion.
Abstract: Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner as decades ago. That is, each study tends to focus on only a single material or small subset of materials, and discoveries are made more or less serendipitously. Recent increases in computing power, novel machine learning algorithms, and improved experimental capabilities offer new opportunities to revolutionize superconductor discovery. These will enable the rapid prediction of structures and properties of novel materials in an automated, high-throughput fashion and the efficient experimental testing of these predictions. Here, we review efforts to use machine learning to attain this goal.

50 citations


Journal ArticleDOI
TL;DR: In this paper, the authors describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP) model, which has generated much interest in the literature.
Abstract: In this article, we describe the collaborative process that is underway to develop measures for the Hierarchical Taxonomy of Psychopathology (HiTOP). The HiTOP model has generated much interest in ...

32 citations


Journal ArticleDOI
TL;DR: In this paper, a hydrogel evaporator is prepared by combining agar, naturally abundant ocean biomass, with titanium nitride nanoparticles, which shows a solar absorptance of 0.98.

29 citations


Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper found that passive social media use was positively associated with both upward contrast and downward identification, which in turn predicted a higher level of stress. But cognitive reappraisal was negatively associated with unhealthy social comparison, but was positively related to healthy social comparison such as upward identification.

29 citations


Journal ArticleDOI
TL;DR: Decision Support Systems for sustainable urban drainage systems (DSS-DSS) as discussed by the authors are a valuable aid for SUDS widespread adoption, which systematize the decision-making criteria and eliminate the bias inherent to expert judgment, abridging the technical aspect of SUDS for non-technical users and decision-makers.

27 citations


Journal ArticleDOI
TL;DR: A survey of phases with high Tc reveals some common structural features that appear conducive to the strong coupling of the electronic structure with atomic vibrations that leads to superconductivity as mentioned in this paper .
Abstract: Over the past decade, a combination of crystal structure prediction techniques and experimental synthetic work has thoroughly explored the phase diagrams of binary hydrides under pressure. The fruitfulness of this dual approach is demonstrated in the recent identification of several superconducting hydrides with Tcs approaching room temperature. We start with an overview of the computational procedures for predicting stable structures and estimating their propensity for superconductivity. A survey of phases with high Tc reveals some common structural features that appear conducive to the strong coupling of the electronic structure with atomic vibrations that leads to superconductivity. We discuss the stability and superconducting properties of phases containing two of these—molecular H 2 units mixed with atomic H and hydrogenic clathrate-like cages—as well as more unique motifs. Finally, we argue that ternary hydride phases, whose exploration is still in its infancy, are a promising route to achieve simultaneous superconductivity at high temperatures and stability at low pressures. Several ternary hydrides arise from the addition of a third element to a known binary hydride structure through site mixing or onto a new site, and several more are based on altogether new structural motifs.

24 citations


Journal ArticleDOI
TL;DR: In this article, a large-area (>100 cm2), ultrathin, and high-quality GO membrane was successfully deposited on commercial polysulfone (PS) support.

20 citations


Journal ArticleDOI
TL;DR: A sparse neural network based reinforcement learning scheme to optimize the control system structure for the transient stability enhancement of power grids with energy storage systems and simulation results confirm the feasibility, advantages, and adaptability of the proposed method.
Abstract: Machine learning related research in transient control has drawn considerable attention with the rapid increase in data measurement from power grids. Two key components, the control algorithm and system structure, work together to determine the control performance. The design of control laws, the selection of phase measurement units, the allocation of power resources, and the scheduling of communication topology in limited cyber-physical resources need to be considered. Many existing scheduling or planning schemes specialized for control structure are designed based on various linearized analytical models or the optimization of steady states. However, the transient dynamics of power grids are nonlinear and parts of these dynamics are usually unknown. Linearized analytical models cannot represent the transient dynamics of power grids with large disturbances. This article proposes a sparse neural network based reinforcement learning scheme to optimize the control system structure for the transient stability enhancement of power grids with energy storage systems. One adjustable group sparse weight matrix is introduced to formulate both control structure and actor–critic networks. This strategy enables the proposed scheme to simultaneously schedule the control system structure and design the control laws by online learning without solving any combinational optimization problems or requiring any linearized analytical models. The sufficient conditions of learning stability, control stability, and group sparsity are thoroughly studied by mathematical analysis. The proposed scheme is simulated on an IEEE 118-bus test system for verification. The simulation results confirm the feasibility, advantages, and adaptability of the proposed method.

19 citations


Journal ArticleDOI
TL;DR: In this paper, a 3D-printable ultra-high performance fiber reinforced concrete (3DP-UHPFRC) has been developed recently by the authors, which shows high compressive and flexural strengths accompanied by deflection-hardening behavior, which allows digital fabrication of thin structures with noticeable reduction/elimination of conventional steel bars.
Abstract: A 3D-printable ultra-high performance fiber reinforced concrete (3DP-UHPFRC) has been developed recently by the authors. This material shows high compressive and flexural strengths accompanied by deflection-hardening behavior, which allows digital fabrication of thin structures with noticeable reduction/elimination of conventional steel bars. However, the high cement content of the developed 3DP-UHPFRC (840 kg/m3) limits the material's environmental sustainability. This paper reports the development of an eco-friendly 3DP-UHPFRC by replacing high volume of the cement component of the mixture with fly ash (FA) and/or ground granulated blast-furnace slag (S). Three printable eco-friendly mixtures were prepared in which 60% of the cement was replaced by either 60% FA (S0F60) or 60% S (S60F0) or 30% FA and 30% S (S30F30). All mixtures had 30% silica fume (SF) content, by mass of binder. The fresh properties (i.e., extrudability, buildability, workability, and rheological parameters), the hardened properties (i.e., anisotropic compressive and flexural strengths), and the environmental impacts (i.e., global warming potential (GWP)) of the eco-friendly mixtures were measured and the results were compared with those of the control mixture made with SF but no FA or S (S0F0). The printable eco-friendly mixtures developed in this research have significantly higher environmental sustainability while retaining mechanical performance comparable to the 3DP-UHPFRC. A material efficiency index (MEI) was proposed to compare suitability of the eco-friendly mixtures against the control mixture. The MEI simultaneously considers multiple performance criteria including mechanical and rheological properties, and GWP. The order of MEIs of the mixtures was: S60F0 > S0F0 > S30F30 > S0F60.

19 citations


Journal ArticleDOI
TL;DR: In the ongoing coronavirus disease disease 2019 (COVID-19) pandemic, caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) has killed untold millions worldwide and has hurtled vaccines into the spotlight as a go-to approach to mitigate it as discussed by the authors .
Abstract: The ongoing coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), has killed untold millions worldwide and has hurtled vaccines into the spotlight as a go-to approach to mitigate it. Advances in virology, genomics, structural biology, and vaccine technologies have enabled a rapid and unprecedented rollout of COVID-19 vaccines, although much of the developing world remains unvaccinated. Several new vaccine platforms have been developed or deployed against SARS-CoV-2, with most targeting the large viral Spike immunogen. Those that safely induce strong and durable antibody responses at low dosages are advantageous, as well are those that can be rapidly produced at a large scale. Virtually all COVID-19 vaccines and adjuvants possess nanoscale or microscale dimensions and represent diverse and unique biomaterials. Viral vector vaccine platforms, lipid nanoparticle mRNA vaccines and multimeric display technologies for subunit vaccines have received much attention. Nanoscale vaccine adjuvants have also been used in combination with other vaccines. To deal with the ongoing pandemic, and to be ready for potential future ones, advanced vaccine technologies will continue to be developed in the near future. Herein, the recent use of advanced materials used for developing COVID-19 vaccines is summarized.

Journal ArticleDOI
TL;DR: In this paper , the authors present the structural properties of myosin-15 bound to actin filament (F-actin) and provide a framework for interpreting the impacts of deafness mutations on motor activity and actin nucleation.
Abstract: The motor protein myosin-15 is necessary for the development and maintenance of mechanosensory stereocilia, and mutations in myosin-15 cause hereditary deafness. In addition to transporting actin regulatory machinery to stereocilia tips, myosin-15 directly nucleates actin filament (“F-actin”) assembly, which is disrupted by a progressive hearing loss mutation (p.D1647G, “ jordan ”). Here, we present cryo–electron microscopy structures of myosin-15 bound to F-actin, providing a framework for interpreting the impacts of deafness mutations on motor activity and actin nucleation. Rigor myosin-15 evokes conformational changes in F-actin yet maintains flexibility in actin’s D-loop, which mediates inter-subunit contacts, while the jordan mutant locks the D-loop in a single conformation. Adenosine diphosphate–bound myosin-15 also locks the D-loop, which correspondingly blunts actin-polymerization stimulation. We propose myosin-15 enhances polymerization by bridging actin protomers, regulating nucleation efficiency by modulating actin’s structural plasticity in a myosin nucleotide state–dependent manner. This tunable regulation of actin polymerization could be harnessed to precisely control stereocilium height.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper adopted Landsat series images to monitor the temporal changes of coastal reclamation across Jiangsu Province from 1984 to 2019, and integrated water index, edge detection and visual interpretation to obtain artificial shorelines over different years from Landsat data.

Journal ArticleDOI
TL;DR: The design of PetscSF is discussed, how it can overcome some difficulties of working directly with MPI on GPUs, and its performance, scalability, and novel features are demonstrated.
Abstract: PetscSF, the communication component of the Portable, Extensible Toolkit for Scientific Computation (PETSc), is designed to provide PETSc's communication infrastructure suitable for exascale computers that utilize GPUs and other accelerators. PetscSF provides a simple application programming interface (API) for managing common communication patterns in scientific computations by using a star-forest graph representation. PetscSF supports several implementations based on MPI and NVSHMEM, whose selection is based on the characteristics of the application or the target architecture. An efficient and portable model for network and intra-node communication is essential for implementing large-scale applications. The Message Passing Interface, which has been the de facto standard for distributed memory systems, has developed into a large complex API that does not yet provide high performance on the emerging heterogeneous CPU-GPU-based exascale systems. In this article, we discuss the design of PetscSF, how it can overcome some difficulties of working directly with MPI on GPUs, and we demonstrate its performance, scalability, and novel features.

Journal ArticleDOI
TL;DR: In this article , the authors review and compare performance evaluation measures for these technologies using version 2 of their shotgun repurposing Computational Analysis of Novel Drug Opportunities (CANDO) platform to illustrate their benefits, drawbacks and limitations.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed a novel framework that combines the ecological footprint model, BPNN, multi-objective genetic algorithm (MOGA), and patch-generating land use simulation (PLUS) model, and apply it to Bortala, China.

Journal ArticleDOI
TL;DR: In this paper , a sequential game-theoretic model is proposed to determine the optimal strategies for the official agencies and social media companies by developing two novel sequential game theoretic models, namely, rumor selection for clarification and learning for rumor clarification, that can help decide which rumor to clarify and when to clarify, respectively.

Journal ArticleDOI
TL;DR: Applications to a flood response problem where multiple unmanned aerial vehicles must respond to victims spread out over a large area and comparison of the ensuing results with that of corresponding state-of-the-art methods demonstrate the potential wider applicability of the proposed online MRTA method.

Journal ArticleDOI
TL;DR: In this paper, the associations of exposure to residential green space and neighborhood walkability with coronary atherosclerosis were explored, and mediation analysis was further applied to explore potential mechanisms through the pathways of physical activity, air pollution, and psychological stress.

Journal ArticleDOI
TL;DR: In this paper, the fatigue model presented in this paper is pure physics based and does not require an empirical evolution function obtained by curve fitting to fatigue test data, however, it does require deriving analytical thermodynamic fundamental equations of the material based on the principals of physics.

Journal ArticleDOI
01 Jan 2022-Appetite
TL;DR: In this article, a systematic review identified 32 longitudinal studies that examined unidirectional or bidirectional associations among one or more of the following paths: food parenting behaviors and child eating self-regulation (path 1); child eating and child weight (path 2), child eating, general selfregulation, and child general self regulation (path 3); food parenting behaviours and child self-regulation (path 4); and child GSR and child's weight (Path 5); however, there were scant longitudinal data that examined paths 3 and 4.

Journal ArticleDOI
TL;DR: In this paper , high-precision constraints on Natural Inflation relative to current observational constraints from Planck 2018 + BICEP/Keck(BK15) Polarization + BAO on r and n S , including post-inflationary history of the universe were calculated.
Abstract: Abstract We calculate high-precision constraints on Natural Inflation relative to current observational constraints from Planck 2018 + BICEP/Keck(BK15) Polarization + BAO on r and n S , including post-inflationary history of the universe. We find that, for conventional post-inflationary dynamics, Natural Inflation with a cosine potential is disfavored at greater than 95% confidence out by current data. If we assume protracted reheating characterized by w ̅>1/3, Natural Inflation can be brought into agreement with current observational constraints. However, bringing unmodified Natural Inflation into the 68% confidence region requires values of T re below the scale of electroweak symmetry breaking. The addition of a SHOES prior on the Hubble Constant H 0 only worsens the fit.

Journal ArticleDOI
TL;DR: In this paper, the authors developed an advanced modeling framework that incorporated multisource, high-quality predictor data (e.g., satellite observations, TROPOspheric Monitoring Instrument NO2, and Multi-Angle Implementation of Atmospheric Correction aerosol optical depth) and three independent machine learning algorithms into an ensemble model.

Journal ArticleDOI
TL;DR: In this article, the authors reviewed concepts related to operation of the classic parallel-tube model for hepatic disposition and examined two recent proposals of a newly derived equation to describe hepatic clearance (CLH).
Abstract: This report reviews concepts related to operation of the classic parallel-tube model (PTM) for hepatic disposition and examines two recent proposals of a newly derived equation to describe hepatic clearance (CLH). It is demonstrated that the proposed equation is identical to a re-arrangement of an earlier relationship from Pang and Rowland and provides a means of calculation of intrinsic clearance (CLint,PTM) rather than CLH as posed. We further demonstrate how classic hepatic clearance models with an assumed CLint, while subject to numerous limitations, remain highly useful and necessary in both traditional pharmacokinetics (PK) and physiologically based pharmacokinetic (PBPK) modeling.

Book
31 Jan 2022
TL;DR: In this paper, the authors introduce functional materials and their applications, including electrical and dielectric properties, as well as their applications in the field of functional materials, and their application in functional applications.
Abstract: Introduction to Functional Materials and Their Applications Electrical Conduction Behavior Dielectric Behavior Electromagnetic Behavior Optical Behavior Magnetic Behavior.

Journal ArticleDOI
TL;DR: In this paper , a fatigue life model based on the unified mechanics theory is introduced to predict the very high cycle fatigue life of metals, without the traditional empirical curve fitting a fatigue damage evolution function.

Journal ArticleDOI
TL;DR: In this paper, a fatigue life model based on the unified mechanics theory is introduced to predict the very high cycle fatigue life of metals, without the need for the traditional empirical curve fitting a fatigue damage evolution function.

Journal ArticleDOI
TL;DR: A recent review as discussed by the authors outlines the evidence for selectively activating the endogenous, latent transforming growth factor (TGF)-β1 with photobiomodulation (PBM) treatments.
Abstract: Objective: The central role of the TGF-β pathway in embryonic development, immune responses, tissue healing, and malignancies is well established. Prior attempts with small molecules, peptides, and regulatory RNAs have failed mainly due to off-target effects in clinical studies. This review outlines the evidence for selectively activating the endogenous, latent transforming growth factor (TGF)-β1 with photobiomodulation (PBM) treatments. Background: Light treatments play a central role in current-directed energy therapeutics in medicine. Therapeutic use of low-dose light treatments has been noted since the 1960s. However, the breadth of treatments and inconsistencies with clinical outcomes have led to much skepticism. This can be primarily attributed to a lack of understanding of the fundamental light-tissue interactions and optimization of clinical treatment protocols. Methods: Recent advances in molecular mechanisms and improved biophotonic device technologies have led to a resurgence of interest in this field. Results: Over the past two decades, our work has focused on outlining a direct molecular mechanism involving PBM-generated redox-mediated activation of endogenous latent TGF-β1. Conclusions: Despite its critical roles in these processes, the complexity and cross talk in this potent growth factor signaling network have prevented the development of directed targeted therapeutics. PBM treatments offer a novel therapeutic and discovery tool in this aspect, especially with the growing evidence for its roles in cancer immunotherapy and stem cell biology.

Journal ArticleDOI
TL;DR: In this paper, ZnO atomic layer deposition (ALD) modified membranes were developed for treating produced water from wells in Oklahoma, as a model of produced water, having very high salt and oil content.

Journal ArticleDOI
TL;DR: In this article , the authors evaluated the impact of the seismic load case on the capital cost of a nuclear power plant in terms of vessel weights and horizontal accelerations and found that seismic isolation can reduce the total cost of equipment by a factor for five.